Unsupervised Binning
Unsupervised Binning is a metagenome binning method that clusters genomic fragments into putative microbial genomes without relying on prior training data or labeled reference sequences, distinguishing itself by leveraging inherent sequence composition and abundance patterns in an unsupervised machine learning framework.
16
Publications
1.2K
Citations
59
Authors
27
Institutions
Publications per year
2017–2026
6
Parents
16
Unsupervised statistical clustering of environmental shotgun sequences
Andrey Kislyuk, Srijak Bhatnagar, Jonathan Dushoff et al. · BMC Bioinformatics · 2009 · 111 citations · Full text
Evaluating metagenomics tools for genome binning with real metagenomic datasets and CAMI datasets
Yi Yue, Hao Huang, Qi Zhao et al. · BMC Bioinformatics · 2020 · 108 citations · Full text
Binning sequences using very sparse labels within a metagenome
Chon‐Kit Kenneth Chan, Arthur Hsu, Saman Halgamuge et al. · BMC Bioinformatics · 2008 · 88 citations · Full text
1–5 of 16
59
3
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 59
27

University of Hong Kong
Pok Fu Lam, Hong Kong
4 h-index
23 publications
2K citations

The University of Melbourne
Melbourne, Australia
2 h-index
5 publications
312 citations
Biodiversity Research Center, Academia Sinica
Taipei, Taiwan
2 h-index
4 publications
224 citations
Ho Chi Minh City University of Technology
Ho Chi Minh City, Vietnam
2 h-index
4 publications
120 citations
University of Southern California
Los Angeles, United States
1 h-index
3 publications
618 citations
Institut de Recherche pour le Développement
Marseille, France
1 h-index
1 publications
19 citations

University of Padua
Padua, Italy
1 h-index
3 publications
243 citations

Vietnam National University Ho Chi Minh City
Ho Chi Minh City, Vietnam
1 h-index
2 publications
26 citations
1–8 of 27
5 publications · 385 citations
5
h-index
3 publications · 311 citations
3
h-index
1 publications · 44 citations
1
h-index
1 publications · 70 citations
1
h-index
1 publications · 37 citations
1
h-index
1–5